상세 보기
Context-based traffic recommendation system
- Bui, K.-H.N.;
- Pham, X.H.;
- Jung, J.J.;
- Lee, O.-J.;
- Hong, M.-S.
Citations
SCOPUS
2초록
In this paper, we propose a new traffic system recommendation based on support real-time flows in highly unpredictable sensor network environments. The approach system is real-time recommendation system which meet various demands of users. The proposed algorithm include two phases. First phase is proposed to deal with the real-time problem. By this way, the drivers are able to transfer on the way with the shortest-time. For second phase, a research algorithm based on Depth First Search (DFS) algorithm will recommend the paths which meet demands of drivers based their context such as the paths with include the famous landscapes or the paths where they can find out good restaurants for their break while driving.
키워드
DFS algorithm; Recommendation system; Sensor network; Algorithms; Sensor networks; User interfaces; Approach system; Context-based; Depth-First-Search (DFS); Real-time problems; Realtime flows; Second phase; Sensor network environment; Traffic systems; Recommender systems
- 제목
- Context-based traffic recommendation system
- 저자
- Bui, K.-H.N.; Pham, X.H.; Jung, J.J.; Lee, O.-J.; Hong, M.-S.
- 발행일
- 2016-04
- 유형
- Conference Paper
- 권
- 165
- 페이지
- 122 ~ 131
- 언어
- ENG
- 출판사
- Springer Verlag
- 발행국가
- 독일
- 분량
- 10 페이지
- ISSN
- P 1867-8211